M2 Internship - Deep learning applied to drug discovery

DeepLife is hiring!

About

DeepLife is an early stage startup founded in 2019 by Jonathan Baptista and Jean-Baptiste Morlot, backed by international investors, developing a digital twin of human cells to accelerate drug discovery.

The DeepLife team develops a SaaS platform combining state-of-the-art machine learning algorithms on single cell multi-omics data, public and private cell atlases, and a proprietary deep learning-based digital twin. Our goal is to supplement in vitro testing with in silico simulations and rapidly discover molecular triggers to efficiently engineer cell behavior.

We are working closely with biotech and pharmaceutical companies to accelerate their target identification processes. We are also collaborating actively with the academic community by publishing papers and providing open access to our platform’s features and data.

Job Description

As Intern at DeepLife, you will:

  • Work on an exciting new academic field that is rapidly changing drug discovery
  • Develop machine learning algorithms to address drug discovery project with our partners
  • Work on academic articles with potential publications
  • Work closely with the CEO and CTO

Preferred Experience

Minimum:

  • A Master 2 in deep learning or computational biology
  • Strong background in physics and applied mathematics
  • Knowledge in model-based reinforcement learning
  • Background in developing Python packages
  • Be a fast learner and article reader able to catch up and follow fast growing academic fields

Nice to have:

  • Background in cell biology
  • Experience in single cell omics data
  • Experience in algorithms deployment
  • Participated to academic articles publication
  • Background in R

Recruitment Process

1- Introduction meeting
2- Code challenge
3- Paper presentation

Additional Information

  • Contract Type: Internship
  • Location: Paris, France (75013)
  • Education Level: Master's Degree
  • Possible partial remote